Markus Schwienbacher
Papers
11
Total Citations
188
H-Index
7
About
Markus Schwienbacher is a robotics researcher whose work has made significant contributions to humanoid locomotion, biped walking control, and autonomous robot navigation. He is best known for his central role in developing **Lola**, a sophisticated 22-degree-of-freedom humanoid walking robot characterized by its lightweight construction, modular joint design, and brushless motor architecture — work that has accumulated over 60 citations since its 2006 introduction. Schwienbacher's research spans the full complexity of humanoid robotics, from low-level hardware design and decentralized sensor-controller networks to high-level motion planning challenges such as real-time trajectory generation, self-collision avoidance, and angular momentum compensation. His 2011 experimental work demonstrated Lola achieving fast biped walking speeds of 3.34 km/h, a notable milestone in the field. He has also advanced autonomous robot navigation, proposing vision-based methods enabling humanoids to traverse unknown environments without relying on color coding or predefined models. Later work extended his expertise into driving simulator motion cueing algorithms. With a body of work collectively garnering nearly 200 citations, Schwienbacher's research represents a comprehensive, systems-level approach to building capable, autonomous bipedal robots.
Research Focus
Key Achievements
Top Papers
- 1Leg Design for a Humanoid Walking Robot62 citations · 2006
- 2
- 3Experiments in fast biped walking21 citations · 2011
- 4Walking in unknown environments — A step towards more autonomy18 citations · 2010
- 5The sensor-controller network of the humanoid robot LOLA10 citations · 2012
- 6Dynamics and Control of the Biped Robot Lola10 citations · 2012
- 7A method for real-time Kineto-Dynamic trajectory generation8 citations · 2012
- 8The Biped Walking Robot Lola7 citations · 2012
- 9Actuator- Based Optimization Motion Cueing Algorithm6 citations · 2018
- 10